A Quote by Marvin Minsky

It makes no sense to seek a single best way to represent knowledge-because each particular form of expression also brings its particular limitations. For example, logic-based systems are very precise, but they make it hard to do reasoning with analogies. Similarly, statistical systems are useful for making predictions, but do not serve well to represent the reasons why those predictions are sometimes correct.
Climate change is there as a reminder that we can get richer and safer societies that are also consuming more and more to the point where the stability of Earth's systems is being challenged at potentially catastrophic levels. I don't think we can stop that. Just the very same worries I have about prediction on the positive progressive side - I mean, predictions that say we'll be great, we'll be fine - also apply to predictions that are too catastrophic. I'm not sure we get those predictions right either.
The driver of the power of intelligent systems is the knowledge the systems have about their universe of discourse, not the sophistication of the reasoning process the systems employ.
Every New Year comes with a list of predictions. Self-predictions, world predictions, how many times Lindsay Lohan will get arrested predictions, etc. I reserve the annual trend for people with genuine psychic ability and/or bloggers.
I have never seen myself as an alarmist but rather as a scientist with a critical viewpoint, and in that sense I have always been a skeptic. I have devoted most of my career to developing models for predicting the weather, and in doing so I have learned the importance of validating forecasts against observed weather. As a result, that's an approach I strongly favor for "climate predictions." It's essential to validate model results, especially when dealing with complex systems such as the climate. It's essential do so properly if such predictions are to be considered credible.
It is not predictions but plans that make the future. If you want predictions, it is because you do not have the ability to make a plan and fulfill it.
Both angels and demons are ignorant of the future, yet they make predictions. The angels do so when God reveals the future to them and commands them to prophesy, and what they prophesy comes to pass. Demons also make predictions, but these are only guesses based on what they see from afar.
Of course there may well be particular reasons why Spencer rather than others is dead, as there were also particular reasons why he rather than others made such a stir.
The deep paradox uncovered by AI research: the only way to deal efficiently with very complex problems is to move away from pure logic.... Most of the time, reaching the right decision requires little reasoning.... Expert systems are, thus, not about reasoning: they are about knowing.... Reasoning takes time, so we try to do it as seldom as possible. Instead we store the results of our reasoning for later reference.
Rhetoric completes the tools of learning. Dialectic zeros in on the logic of things, of particular systems of thought or subjects. Rhetoric takes the next grand step and brings all these subjects together into one whole.
Most successful pundits are selected for being opinionated, because it's interesting, and the penalties for incorrect predictions are negligible. You can make predictions, and a year later people won't remember them.
High-consequence risks form one particular segment of the generalised 'climate of risk' characteristic of late modernity - one characterised by regular shifts in knowledge-claims as mediated by expert systems.
One can expect the human race to continue attempting systems just within or just beyond our reach; and software systems are perhaps the most intricate and complex of man's handiworks. The management of this complex craft will demand our best use of new languages and systems, our best adaptation of proven engineering management methods, liberal doses of common sense, and a God-given humility to recognize our fallibility and limitations.
Humans in modern societies are driven by a perhaps desperate hope that they might find some way of mobilizing their theoretical and empirical knowledge and their evaluative systems so as both to locate themselves and their projects in some larger imaginative structure that makes sense to them. ... Furthermore, many modern agents would like it to be the case that the form of orientation which their life has is, if not true, at least compatible with the best available knowledge.
Science is not, despite how it is often portrayed, about absolute truths. It is about developing an understanding of the world, making predictions, and then testing these predictions.
I have been a biologist for a long time, and I hope I never stop getting shivers in my spine when I think about the beauty of how we come to know things in biology. Biologists make predictions, then they go out into the field or the lab to see if their predictions hold up. When hundreds of predictions of this sort are fulfilled, a theory reaches the point where it becomes certain, at least on a broad level. And that is where we are with evolution.
It is ... a sign of the times-though our brothers of physics and chemistry may smile to hear me say so-that biology is now a science in which theories can be devised: theories which lead to predictions and predictions which sometimes turn out to be correct. These facts confirm me in a belief I hold most passionately-that biology is the heir of all the sciences.
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